Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-05-28 10:34:29	ga_s2am_ard_3-2-1_53HPA_2016-05-28_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52JDR_2016-05-30_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KLP_2016-05-31_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUN_2016-06-25_final.stac-item
2016-09-22 10:25:59	ga_s2am_ard_3-2-1_53HNB_2016-09-22_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KUV_2016-09-26_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52JGT_2016-11-10_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_52KEU_2016-12-03_final.stac-item
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_53KNT_2017-02-28_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51HUC_2017-07-17_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51JVG_2018-01-06_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_52KBC_2018-01-13_final
2018-01-14 10:47:17	ga_s2am_ard_3-2-1_53KNA_2018-01-14_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JEP_2018-02-13_final
2018-02-14 10:17:02	ga_s2am_ard_3-2-1_53JRM_2018-02-14_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JDS_2018-03-11_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50KKU_2018-06-04_final
2018-06-10 10:37:27	ga_s2am_ard_3-2-1_53HME_2018-06-10_final
2018-09-25 10:27:03	ga_s2am_ard_3-2-1_53JPL_2018-09-25_final
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JGN_2018-10-01_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HLH_2018-10-06_final
2018-12-12 11:36:59	ga_s2am_ard_3-2-1_50HPH_2018-12-12_final
2019-03-08 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-03-08_final
2019-05-13 10:36:14	ga_s2am_ard_3-2-1_53HME_2019-05-13_final
2019-06-12 10:34:28	ga_s2am_ard_3-2-1_53JNM_2019-06-12_final
2019-06-29 10:26:45	ga_s2am_ard_3-2-1_53HNC_2019-06-29_final
2019-08-16 11:25:23	ga_s2am_ard_3-2-1_51JYJ_2019-08-16_final
2019-08-21 10:34:02	ga_s2am_ard_3-2-1_53JRN_2019-08-21_final
2019-10-19 11:03:05	ga_s2am_ard_3-2-1_52KFC_2019-10-19_final
2019-11-24 11:21:54	ga_s2am_ard_3-2-1_52LBH_2019-11-24_final
2019-12-20 11:44:38	ga_s2am_ard_3-2-1_50JQS_2019-12-20_final
2019-12-20 11:46:47	ga_s2am_ard_3-2-1_50HQH_2019-12-20_final
2020-01-04 10:55:49	ga_s2am_ard_3-2-1_52JFL_2020-01-04_final
2020-01-09 11:45:51	ga_s2am_ard_3-2-1_51JTG_2020-01-09_final
2020-01-19 11:42:21	ga_s2am_ard_3-2-1_51KVA_2020-01-19_final
2020-02-27 10:34:09	ga_s2am_ard_3-2-1_53JNN_2020-02-27_final
2020-02-27 10:36:27	ga_s2am_ard_3-2-1_53HPC_2020-02-27_final
2020-03-03 11:22:22	ga_s2am_ard_3-2-1_51KYA_2020-03-03_final
2020-03-05 10:26:28	ga_s2am_ard_3-2-1_53HQC_2020-03-05_final
2020-03-08 10:36:55	ga_s2am_ard_3-2-1_53HPA_2020-03-08_final
2020-06-18 11:12:59	ga_s2am_ard_3-2-1_52KFC_2020-06-18_final
2020-07-14 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-07-14_final
2020-07-17 11:46:02	ga_s2am_ard_3-2-1_50JQM_2020-07-17_final
2020-08-12 10:24:25	ga_s2am_ard_3-2-1_53JRM_2020-08-12_final
2020-10-12 11:35:18	ga_s2am_ard_3-2-1_51JVK_2020-10-12_final
2020-11-07 10:16:56	ga_s2am_ard_3-2-1_53HQB_2020-11-07_final
2020-11-10 10:26:45	ga_s2am_ard_3-2-1_53HNC_2020-11-10_final
2020-12-05 11:10:36	ga_s2am_ard_3-2-1_52LHM_2020-12-05_final
2020-12-12 11:03:53	ga_s2am_ard_3-2-1_52KGU_2020-12-12_final
2021-02-16 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2021-02-16_final
2021-04-10 11:34:38	ga_s2am_ard_3-2-1_51JVM_2021-04-10_final
2021-06-11 10:34:00	ga_s2am_ard_3-2-1_53JRN_2021-06-11_final
2021-06-17 10:53:32	ga_s2am_ard_3-2-1_52KGA_2021-06-17_final
2021-07-19 11:33:19	ga_s2am_ard_3-2-1_51KVT_2021-07-19_final
2021-07-20 11:05:37	ga_s2am_ard_3-2-1_52JDN_2021-07-20_final
2021-07-21 10:34:43	ga_s2am_ard_3-2-1_53JNL_2021-07-21_final
2021-08-08 11:35:59	ga_s2am_ard_3-2-1_51JVG_2021-08-08_final
2021-09-01 11:13:41	ga_s2am_ard_3-2-1_51KZR_2021-09-01_final
2021-12-08 10:34:31	ga_s2am_ard_3-2-1_53JQL_2021-12-08_final
2022-02-07 11:43:24	ga_s2am_ard_3-2-1_51KVS_2022-02-07_final
2022-03-03 11:25:56	ga_s2am_ard_3-2-1_51JXG_2022-03-03_final
2022-03-30 11:15:35	ga_s2am_ard_3-2-1_52JCN_2022-03-30_final
2022-03-31 10:43:50	ga_s2am_ard_3-2-1_53KPP_2022-03-31_final
2022-04-04 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-04-04_final
2022-04-12 11:26:42	ga_s2am_ard_3-2-1_51HWD_2022-04-12_final
2022-04-15 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2022-04-15_final
2022-05-08 11:42:25	ga_s2am_ard_3-2-1_51KVB_2022-05-08_final
2022-05-15 11:33:13	ga_s2am_ard_3-2-1_51KXT_2022-05-15_final
2022-05-31 11:54:16	ga_s2am_ard_3-2-1_50KNV_2022-05-31_final
2022-06-11 11:26:24	ga_s2am_ard_3-2-1_51JVF_2022-06-11_final
2022-06-18 11:15:48	ga_s2am_ard_3-2-1_52JBN_2022-06-18_final
2022-07-10 11:55:15	ga_s2am_ard_3-2-1_50JPR_2022-07-10_final
2022-07-10 11:55:33	ga_s2am_ard_3-2-1_50JNQ_2022-07-10_final
2022-07-16 10:34:12	ga_s2am_ard_3-2-1_53JRN_2022-07-16_final
2022-08-19 11:56:30	ga_s2am_ard_3-2-1_50JNL_2022-08-19_final
2022-09-05 11:42:07	ga_s2am_ard_3-2-1_51LWC_2022-09-05_final.stac-item
2022-10-22 11:37:05	ga_s2am_ard_3-2-1_50HQH_2022-10-22_final.stac-item
2022-10-27 10:44:09	ga_s2am_ard_3-2-1_53JNN_2022-10-27_final.stac-item
2022-11-12 11:02:15	ga_s2am_ard_3-2-1_52KHF_2022-11-12_final.stac-item
2022-12-31 11:32:18	ga_s2am_ard_3-2-1_51KVB_2022-12-31_final.stac-item
2023-01-31 11:03:47	ga_s2am_ard_3-2-1_52KEV_2023-01-31_final.stac-item
2023-02-17 10:52:42	ga_s2am_ard_3-2-1_53KNT_2023-02-17_final.stac-item
2023-04-26 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-04-26_final.stac-item
2023-04-27 11:21:11	ga_s2am_ard_3-2-1_51LZF_2023-04-27_nrt.stac-item
2023-05-25 10:44:10	ga_s2am_ard_3-2-1_53JNN_2023-05-25_final.stac-item
2023-06-06 11:24:08	ga_s2am_ard_3-2-1_51KZP_2023-06-06_final.stac-item
2023-07-03 11:10:42	ga_s2am_ard_3-2-1_52LHM_2023-07-03_final.stac-item
2023-07-13 11:13:59	ga_s2am_ard_3-2-1_52KBV_2023-07-13_final.stac-item
2023-08-11 11:42:03	ga_s2am_ard_3-2-1_51LVC_2023-08-11_final.stac-item
2023-08-20 10:34:10	ga_s2am_ard_3-2-1_53JQN_2023-08-20_final.stac-item
2023-09-19 10:36:31	ga_s2am_ard_3-2-1_53HLD_2023-09-19_final.stac-item
2023-10-29 10:34:03	ga_s2am_ard_3-2-1_53JQN_2023-10-29_final.stac-item
2023-11-17 11:02:53	ga_s2am_ard_3-2-1_52KHC_2023-11-17_final.stac-item
2023-11-18 10:36:00	ga_s2am_ard_3-2-1_53HPE_2023-11-18_final.stac-item
2023-12-06 11:33:32	ga_s2am_ard_3-2-1_51KXR_2023-12-06_final.stac-item
2023-12-25 10:26:33	ga_s2am_ard_3-2-1_53HPC_2023-12-25_final.stac-item
2024-01-13 10:54:17	ga_s2am_ard_3-2-1_52JGS_2024-01-13_final.stac-item
2024-01-14 10:24:12	ga_s2am_ard_3-2-1_53JRM_2024-01-14_final.stac-item
2024-02-05 11:04:10	ga_s2am_ard_3-2-1_52JGT_2024-02-05_final.stac-item
2024-02-21 11:22:17	ga_s2am_ard_3-2-1_52KCF_2024-02-21_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years